Short Trade on BCH

Previous Trade Next Trade

Short Trade on BCH 24 Apr 2025 at 19:10:14

Take profit at 350.9968 (0.42 %) and Stop Loss at 353.4355 (0.28 %)

Short Trade on BCH

The 24 Apr 2025 at 19:10:14

With 8.2013 BCH at 352.46$ per unit.

Position size of 2890.613 $

Take profit at 350.9968 (0.42 %) and Stop Loss at 353.4355 (0.28 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.37

Prediction Score: 0

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.01
atr: 0.6503072819

Details

score: 1.01
1H
ema9 : 351.33
ema21 : 352.93
ema50 : 353.844
price_ema9_diff : 0.00320028
ema9_ema21_diff : -0.00453227
ema21_ema50_diff : -0.00258436
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.475813
kc_percentage : 0.478008
kc_width_percentage : 0.0447826
15m
ema9 : 351.095
ema21 : 350.86
ema50 : 351.723
price_ema9_diff : 0.00388847
ema9_ema21_diff : 0.000669823
ema21_ema50_diff : -0.00245296
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.570357
kc_percentage : 0.774734
kc_width_percentage : 0.0165527
5m
ema9 : 351.759
ema21 : 351.179
ema50 : 350.898
price_ema9_diff : 0.00199577
ema9_ema21_diff : 0.00164989
ema21_ema50_diff : 0.000801421
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.660482
kc_percentage : 1.01012
kc_width_percentage : 0.00695054

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
24 Apr 2025 19:10:14	24 Apr 2025 19:25:00	14 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
352.46	353.4355	350.9968	1.5	474.72

Details

Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

Entry 352.46
Stop Loss: 353.4355
Take Profit: 350.9968

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 353.4355 - 352.46 = 0.97550000000001
Récompense (distance jusqu'au take profit):

E - TP = 352.46 - 350.9968 = 1.4632
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 1.4632 / 0.97550000000001 = 1.4999

📌 Position Size

Amount	Margin	Quantity	Leverage
2890.613	100	8.2013	28.91

Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

Account Size 100
Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

Risk Amount 8
Distance Stop Loss 0.97550000000001

Taille de position = 8 / 0.97550000000001 = 8.2

Taille de position USD = 8.2 x 352.46 = 2890.17

Donc, tu peux acheter 8.2 avec un stoploss a 353.4355

Avec un position size USD de 2890.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8.2 x 0.97550000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8.2 x 1.4632 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 8.2
Taille de position USD 2890.17
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.4999

📌 Peformances

TP % Target	TP $ Target
0.42 %	12 $

SL % Target	SL $ Target
0.28 %	8 $

PNL	PNL %
-7.38 $	-0.26

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.41985815602837 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 351
            [entry_price] => 352.5
            [stop_loss] => 353.49
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-24 19:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 351
            [entry_price] => 352.5
            [stop_loss] => 353.58
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-24 19:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 351
            [entry_price] => 352.5
            [stop_loss] => 353.67
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-24 19:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 351
            [entry_price] => 352.5
            [stop_loss] => 353.85
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-24 19:25:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.60999999999996
            [max_drawdown] => 6.37
            [rr_ratio] => 0.1
            [high] => 358.83000000
            [low] => 351.85000000
            [mfe_pct] => 0.17
            [mae_pct] => 1.81
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-04-24T19:10:14-04:00
            [end_at] => 2025-04-24T21:10:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 4.3
            [max_drawdown] => 9.03
            [rr_ratio] => 0.48
            [high] => 361.49000000
            [low] => 348.16000000
            [mfe_pct] => 1.22
            [mae_pct] => 2.56
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 72
            [start_at] => 2025-04-24T19:10:14-04:00
            [end_at] => 2025-04-25T01:10:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 352.75000000
            [high_after] => 361.49000000
            [low_before] => 347.72000000
            [low_after] => 348.16000000
            [is_new_high] => 
            [is_new_low] => 
        )

)